Category: Governance
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The Governance Paradox: Why the Most Regulated Industries Will Adopt AI-DLC First
Earlier this year, during an AI-DLC adoption assessment at a large financial institution in Latin America, something unexpected happened. The compliance team became the loudest champion of the methodology. Not the engineering leads, who were excited about the productivity gains. Not the CTO, who saw the strategic positioning. The compliance team, the people everyone assumed…
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Who Owns AI Governance When Everyone Thinks Someone Else Does?
A few months ago, during a governance assessment at a mid-size financial services company, I asked a simple question: “Who owns AI governance here?” The CISO said the CTO owned it because AI is a technology decision. The CTO said the data team owned it because AI is fundamentally a data problem. The head of…
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Security as a Development Constraint, Not a Review Gate
A compromised npm maintainer account pushed malicious versions of Axios, one of the most widely used JavaScript libraries, to the registry. The attack, which hit last month, bypassed GitHub Actions entirely. The attacker published directly via the npm CLI with stolen credentials. A hidden dependency deployed a remote access trojan. For three hours, every npm install that…
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Why Your Cloud Migration Succeeded and Your Cloud Operations Didn’t
A few years ago, a financial services company asked us to help them roll back a cloud migration. Not pause it. Not optimize it. Roll it back. This wasn’t a company that was new to the cloud. They had been running cloud-native workloads on AWS for years: new applications, innovation projects, critical business services built…
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The GenAI Governance Gap: Why Enterprise AI Initiatives Fail at Scale
Over the past two years, Generative AI has moved from experimentation to boardroom priority. Executives are no longer asking whether they should adopt GenAI, but how fast they can deploy it across the organization. Customer service copilots, internal knowledge assistants, automated document processing, developer productivity tools, and decision support systems are appearing everywhere. And yet,…
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The Hidden Cost of Unpreparedness: Cloud Migration Without a Foundation
Recently I was working with a financial services company on a cloud migration project. The scope was significant: over 180 servers, multiple business-critical applications, and tight regulatory requirements. On paper, it looks like a standard enterprise migration. But there was a problem, one I’ve seen too many times before. The customer hasn’t prepared for what…
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From Vibe Coding to Spec-Driven Development: The Next Leap in AI Software Engineering
In my last post, “The Mismatch Between AI Code Assistants and Enterprise Software Development,” I talked about how coding assistants (despite their brilliance) often fail to align with enterprise reality. They generate code fast, but without context, structure, or shared understanding. The result? More rework, more debugging, and less trust. Today, I want to explore where…
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The Challenge of Responsible & Ethical AI in the Enterprise
In almost 30 years in technology, from mechatronics engineering to leading digital transformation in banking, telco, healthcare and startups, and as a Microsoft MVP, Microsoft Regional Director and AWS Ambassador, I’ve witnessed and lived many waves of innovation. The current wave, driven by AI (and increasingly by Generative AI), is unlike the ones before. It’s…
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The Silent Power of Cloud Governance
When we talk about cloud transformation, the conversation usually gravitates toward innovation, agility, and speed. Everyone loves the narrative of rapid modernization, migrating workloads, automating pipelines, enabling teams to move faster than ever before. But after helping organizations evolve their technology strategies, I’ve learned a hard truth: the story of cloud success is mostly written…
